13   Artículos

 
en línea
Darin Majnaric, Sandi Baressi ?egota, Nikola Andelic and Jerolim Andric    
One of the main problems in the application of machine learning techniques is the need for large amounts of data necessary to obtain a well-generalizing model. This is exacerbated for studies in which it is not possible to access large amounts of data?fo... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Nikola Andelic and Sandi Baressi ?egota    
This investigation underscores the paramount imperative of discerning network intrusions as a pivotal measure to fortify digital systems and shield sensitive data from unauthorized access, manipulation, and potential compromise. The principal aim of this... ver más
Revista: Information    Formato: Electrónico

 
en línea
Sandi Baressi ?egota, Vedran Mrzljak, Nikola Andelic, Igor Poljak and Zlatan Car    
Machine learning applications have demonstrated the potential to generate precise models in a wide variety of fields, including marine applications. Still, the main issue with ML-based methods is the need for large amounts of data, which may be impractic... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Nikola Andelic, Sandi Baressi ?egota, Matko Glucina and Ivan Lorencin    
In autonomous manufacturing lines, it is very important to detect the faulty operation of robot manipulators to prevent potential damage. In this paper, the application of a genetic programming algorithm (symbolic classifier) with a random selection of h... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Nikola Andelic, Ivan Lorencin, Sandi Baressi ?egota and Zlatan Car    
Hepatitis C is an infectious disease which is caused by the Hepatitis C virus (HCV) and the virus primarily affects the liver. Based on the publicly available dataset used in this paper the idea is to develop a mathematical equation that could be used to... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Nikola Andelic, Sandi Baressi ?egota and Zlatan Car    
Malware detection using hybrid features, combining binary and hexadecimal analysis with DLL calls, is crucial for leveraging the strengths of both static and dynamic analysis methods. Artificial intelligence (AI) enhances this process by enabling automat... ver más
Revista: Computers    Formato: Electrónico

 
en línea
Nikola Andelic, Sandi Baressi ?egota, Ivan Lorencin and Matko Glucina    
Malicious websites are web locations that attempt to install malware, which is the general term for anything that will cause problems in computer operation, gather confidential information, or gain total control over the computer. In this paper, a novel ... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Nikola Andelic, Sandi Baressi ?egota, Ivan Lorencin, Igor Poljak, Vedran Mrzljak and Zlatan Car    
In this paper, the publicly available dataset for the Combined Diesel-Electric and Gas (CODLAG) propulsion system was used to obtain symbolic expressions for estimation of fuel flow, ship speed, starboard propeller torque, port propeller torque, and tota... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Vedran Mrzljak, Paolo Blecich, Nikola Andelic and Ivan Lorencin    
A forced draft fan, used for the supply of combustion air into the steam generator of the conventional liquefied natural gas (LNG) carrier was analyzed from the aspect of energy and exergy. The power delivered from the induction motor to the fan was calc... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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